CN115489378B - Electric vehicle charging prediction method, device and system and readable storage medium - Google Patents

Abstract

The invention provides an electric vehicle charging prediction method, device, system and readable storage medium. The prediction method includes: obtaining the first predicted load of the power grid in the first area, determining the rechargeable load of the first charging station according to the first predicted load; obtaining the position information and power information of the electric vehicle in the first area, Information, to divide the electric vehicle into the first electric vehicle and the second electric vehicle; determine the second predicted load of the first charging station according to the first electric vehicle; determine the second forecast load of the first charging station according to the current charging vehicle information of the first charging station Actual load: according to the second predicted load, the actual load and the chargeable load, determine the charging scheme of the vehicle to be charged. The problem solved by the present invention is that the technical solutions in the related art cannot efficiently coordinate and manage the charging locations of multiple electric vehicles without the charging stations affecting the grid load.

Description

A charging prediction method, device, system and readable storage medium for electric vehicles

technical field

The present invention relates to the technical field of electric vehicles, in particular to an electric vehicle charging prediction method, device, system and readable storage medium.

Background technique

Due to the advantages of energy saving, environmental protection and the use of clean energy, the number of electric vehicles has continued to increase in recent years. The demand for charging electric vehicles has also increased, and the popularity of vehicle charging piles has also greatly increased. When an electric vehicle is connected to the AC grid through a charging pile, the charging electric vehicle will generate power fluctuations on the grid. The random charging behavior of large-scale electric vehicles may aggravate the load fluctuation of the grid. The new load will have a huge impact on the distribution network, deteriorating the energy loss and economic benefits of the power grid.

In the existing technology, a large number of users are often guided to use the evening trough to charge at night or delay charging to avoid peak hours. This method can effectively realize the transfer of a large number of charging loads in the near future, but there are certain limitations. During the peak hours of electricity consumption, the charging power of the charging station is low, and some vehicles with low power that need to be charged immediately will encounter the charging power saturation of the charging station when going to the nearest charging station, and occupy the charging pile. Vehicles may have a certain amount of power and can be driven to other charging stations for charging. This will cause some electric vehicles to run out of power during driving, which will cause inconvenience to users and easily cause traffic paralysis. Electric vehicles do not know the load status of the grid. At the same time, the grid charging control center does not understand the charging information of charging vehicles, so it is impossible to establish a time-of-use electricity price mechanism and control strategy based on the real-time status of the grid and taking into account the charging needs of customers. With orderly charging intelligent management.

It can be seen that the problem in the related art is that the technical solutions in the related art cannot efficiently coordinate and manage the charging locations of multiple electric vehicles without the charging station affecting the load of the power grid.

Contents of the invention

The problem solved by the present invention is that the technical solutions in the related art cannot efficiently coordinate and manage the charging locations of multiple electric vehicles without the charging stations affecting the grid load.

In order to solve the above problems, the first object of the present invention is to provide a charging prediction method for electric vehicles.

The second object of the present invention is to provide a charging prediction device for electric vehicles.

The third object of the present invention is to provide a charging prediction system for electric vehicles.

A fourth object of the present invention is to provide a readable storage medium.

In order to achieve the first purpose of the present invention, an embodiment of the present invention provides a charging forecasting method for electric vehicles, the forecasting method includes: obtaining the first forecasted load of the power grid in the first area, and determining the first charging station according to the first forecasted load The rechargeable load of the electric vehicle in the first area is obtained; the electric vehicle is divided into the first electric vehicle and the second electric vehicle according to the position information and the electric quantity information; the first electric vehicle is determined according to the first electric vehicle The second predicted load of the station; according to the current charging vehicle information of the first charging station, determine the actual load of the first charging station; according to the second predicted load, actual load and rechargeable load, determine the charging scheme of the vehicle to be charged; wherein, The first charging station is the only charging station in the first area, and the first charging station is connected to the grid in the first area; the charging demand of the first electric vehicle is greater than that of the second electric vehicle; the current charging vehicle is charging at the first charging station vehicles; the vehicle to be charged is the vehicle that is about to go to the first charging station for charging.

Compared with the prior art, the technical effect achieved by adopting this technical solution: the method of the present invention comprehensively considers the second predicted load, actual load and rechargeable load, and determines the charging scheme of the vehicle to be charged. Under the premise of not affecting the stability of the power grid in the first area, the charging plan for the vehicles to be charged should be formulated in advance, and the limited power resources should be provided to the electric vehicles that are in urgent need of charging as much as possible. While improving the charging efficiency, some electric vehicles are also avoided. When the power is exhausted, the situation of traffic paralysis occurs.

In one embodiment of the present invention, according to the second predicted load, the actual load and the chargeable load, determining the charging scheme of the vehicle to be charged includes: when the vehicle to be charged is the first electric vehicle, allowing the first electric vehicle to Charging at a charging station; when the vehicle to be charged is a second electric vehicle, and the second predicted load is less than the chargeable load, the second electric vehicle is allowed to charge at the first charging station; when the vehicle to be charged is a second electric vehicle, and the second 2. When the predicted load is greater than or equal to the rechargeable load, guide the second electric vehicle to charge at another charging station; when the actual load is greater than or equal to the rechargeable load, prohibit the vehicle to be charged from charging at the first charging station.

Compared with the existing technology, the technical effect achieved by adopting this technical solution: the method of this embodiment reserves a charging position for the first electric vehicle to a certain extent, and effectively improves the electric charging under the premise of ensuring the stability of the power grid. The charging efficiency of the car.

In an embodiment of the present invention, the prediction method further includes: after the first electric vehicle is determined to be charged at the first charging station, updating the actual load according to the power of the first electric vehicle.

Compared with the prior art, the technical effect achieved by adopting this technical solution is: whenever the first electric vehicle is charged at the first charging station, the actual load will be updated, which effectively improves the accuracy of the prediction method of the present invention.

In an embodiment of the present invention, the prediction method further includes: after the second electric vehicle is determined to be charged at the first charging station, updating the rechargeable load according to the power of the second electric vehicle.

Compared with the prior art, the technical effect achieved by adopting this technical solution: After the second electric vehicle is determined to be charged at the first charging station, the rechargeable load can be updated in time, thereby effectively improving the performance of the solution of this embodiment. Accuracy and charging efficiency at the first charging station.

In an embodiment of the present invention, according to the position information and the electric quantity information, the electric vehicle is divided into the first electric vehicle and the second electric vehicle, including: according to the position information, determining the first driving time of the electric vehicle to the first charging station Distance, to determine the second travel distance of the electric vehicle to the second charging station; according to the first travel distance, the second travel distance and the electric quantity information, the electric vehicle is divided into the first electric vehicle and the second electric vehicle; wherein, the second The charging station is the closest charging station to the first charging station; the first traveling distance is less than the second traveling distance.

Compared with the existing technology, the technical effect achieved by adopting this technical solution: the solution of this embodiment obtains the driving distance instead of the straight-line distance, which makes the prediction method more accurate in controlling the charging vehicle, and improves the charging efficiency and electric charging efficiency. vehicle traffic efficiency.

In one embodiment of the present invention, according to the first driving distance, the second driving distance and the electric quantity information, the electric vehicles are divided into the first electric vehicles and the second electric vehicles, including: obtaining the vehicle model of the electric vehicle; and power information to determine the travelable distance of the electric vehicle; when the travelable distance is less than the second travel distance and greater than or equal to the first travel distance, the electric vehicle is classified as the first electric vehicle; when the travel distance is greater than or equal to the second When driving distance, electric vehicles are classified as second electric vehicles.

Compared with the existing technology, the technical effect achieved by adopting this technical solution: the solution of this embodiment can accurately classify electric vehicles, establish a necessary foundation for the subsequent prediction method, and effectively improve the performance of the prediction method. accuracy and reliability.

In an embodiment of the present invention, the prediction method further includes: when the travelable distance is less than the first travel distance, classifying the electric vehicle as a vehicle to be rescued, and asking whether the vehicle to be rescued needs roadside assistance.

Compared with the existing technology, the technical effect achieved by adopting this technical solution: the solution of this embodiment can avoid the situation that the electric vehicle breaks down on the road to a certain extent, thereby avoiding the possible occurrence of traffic accidents caused by the breakdown of the electric vehicle. The occurrence of paralysis.

In order to achieve the second purpose of the present invention, an embodiment of the present invention provides an electric vehicle charging prediction device, the prediction device includes: a first detection module, the first detection module is used to obtain the first predicted load of the power grid in the first area , determine the chargeable load of the first charging station according to the first predicted load; the second detection module, the second detection module is used to obtain the position information and power information of the electric vehicle in the first area, and according to the position information and power information, the electric vehicle The car is divided into a first electric vehicle and a second electric vehicle; a first processing module, the first processing module is used to determine the second predicted load of the first charging station according to the first electric vehicle; a second processing module, the second processing module uses Determine the actual load of the first charging station according to the current charging vehicle information of the first charging station; the third processing module, the third processing module is used to determine the load of the vehicle to be charged according to the second predicted load, actual load and chargeable load Charging scheme; wherein, the first charging station is the only charging station in the first area, and the first charging station is connected to the grid in the first area; the charging demand of the first electric vehicle is greater than that of the second electric vehicle; the current charging vehicle is The vehicle being charged at the first charging station; the vehicle to be charged is a vehicle that is about to go to the first charging station for charging.

The electric vehicle charging prediction device in the embodiment of the present invention implements the steps of the electric vehicle charging prediction method in any embodiment of the present invention, and thus has all the beneficial effects of the electric vehicle charging prediction method in any embodiment of the present invention, which is not mentioned here Let me repeat.

In order to achieve the third purpose of the present invention, an embodiment of the present invention provides an electric vehicle charging prediction system, which includes: a processor, a memory, and a program or instruction stored in the memory and operable on the processor, the program or When the instructions are executed by the processor, the steps of the electric vehicle charging prediction method according to any embodiment of the present invention are implemented.

The electric vehicle charging prediction system according to the embodiment of the present invention implements the steps of the electric vehicle charging prediction method according to any embodiment of the present invention, and thus has all the beneficial effects of the electric vehicle charging prediction method according to any embodiment of the present invention. Let me repeat.

In order to achieve the fourth objective of the present invention, an embodiment of the present invention provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, it can realize the process as described in any embodiment of the present invention. Steps in an electric vehicle charging prediction method.

The readable storage medium in the embodiment of the present invention implements the steps of the electric vehicle charging prediction method in any embodiment of the present invention, and thus has all the beneficial effects of the electric vehicle charging prediction method in any embodiment of the present invention, which will not be repeated here repeat.

Description of drawings

Fig. 1 is one of the flow charts of the steps of the electric vehicle charging prediction method in some embodiments of the present invention;

Fig. 2 is the second flow chart of the steps of the electric vehicle charging prediction method in some embodiments of the present invention;

Fig. 3 is the third flowchart of the steps of the electric vehicle charging prediction method according to some embodiments of the present invention.

Detailed ways

In order to make the above objects, features and advantages of the present invention more comprehensible, specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.

【The first embodiment】

Referring to Fig. 1, this embodiment provides a charging prediction method for electric vehicles, the prediction method includes:

S100: Obtain a first predicted load of the power grid in the first area, and determine a chargeable load of the first charging station according to the first predicted load;

S200: Obtain the location information and power information of the electric vehicles in the first area, and divide the electric vehicles into a first electric vehicle and a second electric vehicle according to the location information and the power information;

S300: Determine the second predicted load of the first charging station according to the first electric vehicle;

S400: Determine the actual load of the first charging station according to the current charging vehicle information of the first charging station;

S500: Determine a charging scheme for the vehicle to be charged according to the second predicted load, actual load and rechargeable load;

Among them, the first charging station is the only charging station in the first area, and the first charging station is connected to the grid in the first area; the charging demand of the first electric vehicle is greater than that of the second electric vehicle; the current charging vehicle is charging in the first The vehicle being charged at the first charging station; the vehicle to be charged is the vehicle that is about to go to the first charging station for charging.

It should be noted that the forecasting method of the present invention is applicable to a certain time period of a day. When it is in a different time period, the first forecasted load is different, which leads to different rechargeable loads, and subsequent forecasting methods and data also change accordingly.

Further, in S100, the first predicted load of the power grid in the first area is obtained, and the rechargeable load of the first charging station is determined according to the first predicted load. In this embodiment, the first predicted load in a certain time period is predicted by long-term detection of the electricity load in the first area in each time period of the day, and then according to the power supply power of the power grid in this time period, the The chargeable load of the first charging station can be determined by subtracting the first predicted load from the power supply, that is, the load that the first charging station can be used to charge the electric vehicle. It should be noted that the first charging station uses grid power in the first area, and the first area is divided around the first charging station. A city includes multiple areas, and each area has a charging station. And the charging stations in each region have the greatest impact on the regional power grid.

Further, in S200, the location information and power information of all electric vehicles in the first area are obtained through the Internet of Vehicles, and all electric vehicles are divided into first electric vehicles and second electric vehicles according to the location information and power information of each electric vehicle. electric car. The charging demand of the first electric vehicle is greater than that of the second electric vehicle, that is, the first electric vehicle needs to be charged more than the second electric vehicle. Exemplarily, the electricity of the first electric vehicle is about to run out, the first electric vehicle is considered as a vehicle that must come to the first charging station for charging, and the electricity of the second electric vehicle is enough for it to return home or go to other charging stations.

Further, in S300, the second predicted load of the first charging station is determined according to the first electric vehicle. The sum of the power of all the first electric vehicles in the first area is the second predicted load, that is, the electricity load brought by all the first electric vehicles charged at the first charging station is the second predicted load.

Further, in S400, the actual load of the first charging station is determined according to the current charging vehicle information of the first charging station.

Further, in S500, according to the second predicted load, the actual load and the chargeable load, a charging scheme of the vehicle to be charged is determined.

It can be understood that the method of the present invention comprehensively considers the second predicted load, the actual load and the rechargeable load to determine the charging scheme of the vehicle to be charged. Under the premise of not affecting the stability of the power grid in the first area, the charging plan for the vehicles to be charged should be formulated in advance, and the limited power resources should be provided to the electric vehicles that are in urgent need of charging as much as possible. While improving the charging efficiency, some electric vehicles are also avoided. When the power is exhausted, the situation of traffic paralysis occurs.

Further, according to the second predicted load, the actual load and the chargeable load, the charging scheme of the vehicle to be charged is determined, including:

S510: When the vehicle to be charged is the first electric vehicle, allow the first electric vehicle to be charged at the first charging station;

S520: When the vehicle to be charged is a second electric vehicle, and the second predicted load is less than the chargeable load, allow the second electric vehicle to be charged at the first charging station;

S530: When the vehicle to be charged is a second electric vehicle and the second predicted load is greater than or equal to the chargeable load, guide the second electric vehicle to charge at another charging station;

S540: When the actual load is greater than or equal to the chargeable load, prohibit charging the vehicle to be charged at the first charging station.

Further, in S510, when the vehicle to be charged is the first electric vehicle, the first electric vehicle is allowed to be charged at the first charging station. The first electric vehicle is a vehicle that urgently needs to be charged, and the first electric vehicle can be directly allowed to go to the nearest first charging station for charging.

Further, in S520, when the vehicle to be charged is the second electric vehicle and the second predicted load is less than the chargeable load, the second electric vehicle is allowed to be charged at the first charging station. When the second predicted load is less than the rechargeable load, it means that the first charging station can meet the charging needs of other vehicles on the basis of satisfying the charging of all the first electric vehicles. At this time, the first electric vehicle can be allowed to charge in the first station charging.

Further, in S530, when the vehicle to be charged is the second electric vehicle and the second predicted load is greater than or equal to the chargeable load, guide the second electric vehicle to charge at another charging station. When the second predicted load is greater than or equal to the chargeable load, it means that the first charging station cannot meet the charging needs of all the first electric vehicles at this time. If the second electric vehicle goes to the first charging station to charge, the second electric vehicle should be guided The car goes to other charging stations to charge. For example, if the second electric vehicle chooses to charge at another charging station, it can be given a certain charging discount; if the second electric vehicle chooses to charge at the first charging station, it will not be provided with a charging discount.

Further, in S540, when the actual load is greater than or equal to the chargeable load, the vehicle to be charged is prohibited from being charged at the first charging station. When the actual load is greater than or equal to the rechargeable load, it means that the charging station is saturated at this time. Forced charging will easily lead to excessive load on the grid and affect the stability of the grid power supply. Therefore, no matter whether it is the first electric vehicle or the second electric vehicle All vehicles are prohibited from charging at the first charging station; if it is the first electric vehicle, it is recommended to wait for a certain period of time according to the charging time of the vehicle being charged; if it is the second electric vehicle, it is recommended to go to other nearby charging stations to charge.

It can be understood that the method of this embodiment reserves a charging location for the first electric vehicle to a certain extent, and effectively improves the charging efficiency of the electric vehicle on the premise of ensuring the stability of the power grid.

Further, the forecasting method also includes:

S550: After the first electric vehicle is determined to be charged at the first charging station, update the actual load according to the power of the first electric vehicle.

In this embodiment, the actual load is the load used when charging all the first electric vehicles in the first charging station.

Understandably, whenever the first electric vehicle is charged at the first charging station, the actual load will be updated, which effectively improves the accuracy of the prediction method of the present invention.

Further, the forecasting method also includes:

S560: After the second electric vehicle is determined to be charged at the first charging station, update the chargeable load according to the power of the second electric vehicle.

In this embodiment, when there is no vehicle charging in the first charging station, the chargeable load is the charging load that the first charging station can bear at most, and whenever a second electric vehicle is charged at the first charging station, the chargeable load Subtract the charging load of the second electric vehicle to determine a new chargeable load; when the first electric vehicle is determined to be charged at the first charging station, increase the charging load of the first electric vehicle on the basis of the original actual charge to determine a new actual load.

Exemplarily, whenever a second electric vehicle is charged at the first charging station, the rechargeable load of the first charging station decreases. When the second predicted load is greater than or equal to the rechargeable load, if there is another The car goes to the first charging station to charge, that is, it needs to guide the second electric car to charge at other charging stations; the chargeable load is the charging load that the first charging station can provide to the first electric car, whenever the first electric car After the charging station is charged, the actual load of the first charging station increases. When the actual load is greater than or equal to the rechargeable load, it means that the first charging station is saturated at this time. At this time, in order to maintain the stability of the power grid, all vehicles to be charged must be prohibited Charge at the first charging station.

It can be understood that after the second electric vehicle is determined to be charged at the first charging station, the chargeable load can be updated in time, thereby effectively improving the accuracy of the solution of this embodiment and the charging efficiency of the first charging station.

Further, referring to FIG. 2, electric vehicles are divided into a first electric vehicle and a second electric vehicle according to location information and power information, including:

S210: According to the location information, determine a first travel distance for the electric vehicle to travel to the first charging station, and determine a second travel distance for the electric vehicle to travel to the second charging station;

S220: Classify the electric vehicle into a first electric vehicle and a second electric vehicle according to the first driving distance, the second driving distance and the electric quantity information;

Wherein, the second charging station is the closest charging station to the first charging station; the first traveling distance is smaller than the second traveling distance.

In this embodiment, the second charging station is the closest charging station to the first charging station, and the first traveling distance is smaller than the second traveling distance, that is, the second charging station is the second choice for the vehicle to be charged.

It can be understood that the solution in this embodiment obtains the driving distance instead of the straight-line distance, which makes the prediction method more accurate in controlling the charging vehicle, and improves the charging efficiency and the passing efficiency of the electric vehicle.

Further, referring to FIG. 3 , electric vehicles are divided into first electric vehicles and second electric vehicles according to the first traveling distance, the second traveling distance and the electric quantity information, including:

S221: Obtain the vehicle model of the electric vehicle;

S222: Determine the travelable distance of the electric vehicle according to the vehicle model and power information;

S223: When the travelable distance is less than the second travel distance and greater than or equal to the first travel distance, classify the electric vehicle as the first electric vehicle;

S224: When the travelable distance is greater than or equal to the second travel distance, classify the electric vehicle as a second electric vehicle.

In this embodiment, the power of different vehicles is different, and the travelable distance of the electric vehicle can be obtained more accurately according to the vehicle model and power information. When the travelable distance is less than the second travel distance and greater than or equal to the first travel distance, it means that the electric vehicle can travel to the first charging station, but its power cannot travel to the second charging station, so the electric vehicle is classified as the first Electric vehicle; when the travelable distance is greater than or equal to the second travel distance, it means that the electric vehicle can travel to the second charging station, and its charging demand is smaller than that of the first electric vehicle, so the electric vehicle is classified as the second electric vehicle.

It can be understood that the solution of this embodiment can accurately classify electric vehicles, establish a necessary foundation for the subsequent prediction method, and effectively improve the accuracy and reliability of the prediction method.

Further, the forecasting method also includes:

S230: When the travelable distance is less than the first travel distance, classify the electric vehicle as a vehicle to be rescued, and ask whether the vehicle to be rescued needs road rescue.

In this embodiment, when the travelable distance is less than the first travel distance, it means that the power of the electric vehicle cannot support its driving to the first charging station, so the electric vehicle is classified as a vehicle to be rescued, and the vehicle to be rescued is asked whether it needs roadside assistance.

It can be understood that the solution of this embodiment can avoid the situation that the electric vehicle breaks down on the road to a certain extent, thereby avoiding the occurrence of possible traffic paralysis caused by the electric vehicle breaking down.

【Second Embodiment】

This embodiment provides a charging prediction device for electric vehicles, the prediction device includes: a first detection module, the first detection module is used to obtain the first predicted load of the power grid in the first area, and determine the first charging station according to the first predicted load The rechargeable load; the second detection module, the second detection module is used to obtain the position information and power information of the electric vehicles in the first area, and divide the electric vehicles into the first electric vehicle and the second electric vehicle according to the position information and power information Car; a first processing module, the first processing module is used to determine the second predicted load of the first charging station according to the first electric vehicle; a second processing module, the second processing module is used to determine the current charging vehicle information of the first charging station , to determine the actual load of the first charging station; the third processing module, the third processing module is used to determine the charging scheme of the vehicle to be charged according to the second predicted load, actual load and rechargeable load; wherein, the first charging station is the second The only charging station in an area, and the first charging station is connected to the grid in the first area; the charging demand of the first electric vehicle is greater than that of the second electric vehicle; the current charging vehicle is the vehicle being charged at the first charging station; the vehicle to be charged Charging the vehicle about to go to the first charging station.

The electric vehicle charging prediction device in the embodiment of the present invention implements the steps of the electric vehicle charging prediction method in any embodiment of the present invention, and thus has all the beneficial effects of the electric vehicle charging prediction method in any embodiment of the present invention, which is not mentioned here Let me repeat.

[Third embodiment]

This embodiment provides an electric vehicle charging prediction system, which includes: a processor, a memory, and a program or instruction stored in the memory and operable on the processor. Steps of an electric vehicle charging prediction method according to an embodiment.

The electric vehicle charging prediction system according to the embodiment of the present invention implements the steps of the electric vehicle charging prediction method according to any embodiment of the present invention, and thus has all the beneficial effects of the electric vehicle charging prediction method according to any embodiment of the present invention. Let me repeat.

[Fourth embodiment]

This embodiment provides a readable storage medium, on which a program or instruction is stored, and when the program or instruction is executed by a processor, the steps of the electric vehicle charging prediction method according to any embodiment of the present invention are realized.

The readable storage medium in the embodiment of the present invention implements the steps of the electric vehicle charging prediction method in any embodiment of the present invention, and thus has all the beneficial effects of the electric vehicle charging prediction method in any embodiment of the present invention, which will not be repeated here repeat.

Although the present invention is disclosed above, the present invention is not limited thereto. Any person skilled in the art can make various changes and modifications without departing from the spirit and scope of the present invention, so the protection scope of the present invention should be based on the scope defined in the claims.

Claims (6)

1. An electric vehicle charging prediction method is characterized by comprising the following steps:

acquiring a first predicted load of a power grid in a first area, and determining a chargeable load of a first charging station according to the first predicted load;

acquiring position information and electric quantity information of electric automobiles in the first area, and dividing the electric automobiles into a first electric automobile and a second electric automobile according to the position information and the electric quantity information;

determining a second predicted load of the first charging station according to the first electric vehicle;

determining the actual load of the first charging station according to the current charging vehicle information of the first charging station;

determining a charging scheme of the vehicle to be charged according to the second predicted load, the actual load and the chargeable load;

the first charging station is the only charging station in the first area, and the first charging station is connected with a power grid of the first area; the charging demand of the first electric automobile is greater than that of the second electric automobile; the currently-charged vehicle is a vehicle being charged at the first charging station; the vehicle to be charged is a vehicle going to the first charging station for charging;

the determining a charging scheme of the vehicle to be charged according to the second predicted load, the actual load and the chargeable load comprises:

when the vehicle to be charged is the first electric automobile, allowing the first electric automobile to be charged at the first charging station;

when the vehicle to be charged is the second electric vehicle and the second predicted load is smaller than the chargeable load, allowing the second electric vehicle to be charged at the first charging station;

when the vehicle to be charged is the second electric vehicle and the second predicted load is greater than or equal to the chargeable load, guiding the second electric vehicle to go to other charging stations for charging;

when the actual load is greater than or equal to the chargeable load, prohibiting the vehicle to be charged from being charged at the first charging station;

according to the position information and the electric quantity information, the electric automobile is divided into a first electric automobile and a second electric automobile, and the method comprises the following steps:

determining a first driving distance of the electric vehicle to the first charging station and determining a second driving distance of the electric vehicle to the second charging station according to the position information;

according to the first driving distance, the second driving distance and the electric quantity information, the electric automobile is divided into the first electric automobile and the second electric automobile;

the second charging station is the closest charging station to the first charging station; the first travel distance is less than the second travel distance;

the dividing the electric vehicle into the first electric vehicle and the second electric vehicle according to the first travel distance, the second travel distance, and the electric quantity information includes:

acquiring the vehicle model of the electric vehicle;

determining the travelable distance of the electric automobile according to the vehicle model and the electric quantity information;

when the distance to empty is less than the second driving distance and greater than or equal to the first driving distance, dividing the electric vehicle into the first electric vehicle;

when the travelable distance is greater than or equal to the second travel distance, dividing the electric vehicle into the second electric vehicle;

when the travelable distance is less than the first travel distance, the electric automobile is divided into vehicles to be rescued, and the vehicles to be rescued are inquired whether road rescue is needed.

2. The prediction method according to claim 1, further comprising:

and updating the actual load according to the power of the first electric vehicle after the first electric vehicle is determined to be charged at the first charging station.

3. The prediction method according to claim 2, further comprising:

and updating the chargeable load according to the power of the second electric vehicle after the second electric vehicle is determined to be charged at the first charging station.

4. An electric vehicle charging prediction apparatus, characterized in that the prediction apparatus comprises:

the first detection module is used for acquiring a first predicted load of a power grid in a first area and determining a chargeable load of a first charging station according to the first predicted load;

the second detection module is used for acquiring position information and electric quantity information of electric automobiles in the first area, and dividing the electric automobiles into a first electric automobile and a second electric automobile according to the position information and the electric quantity information;

a first processing module to determine a second predicted load of the first charging station from the first electric vehicle;

the second processing module is used for determining the actual load of the first charging station according to the current charging vehicle information of the first charging station;

a third processing module, configured to determine a charging scheme of a vehicle to be charged according to the second predicted load, the actual load, and the chargeable load;

the first charging station is the only charging station in the first area, and the first charging station is connected with a power grid of the first area; the charging demand of the first electric automobile is greater than that of the second electric automobile; the currently charging vehicle is a vehicle being charged at the first charging station; the vehicle to be charged is a vehicle going to the first charging station for charging;

the determining a charging scheme of the vehicle to be charged according to the second predicted load, the actual load and the chargeable load comprises:

when the vehicle to be charged is the first electric automobile, allowing the first electric automobile to be charged at the first charging station;

when the vehicle to be charged is the second electric vehicle and the second predicted load is smaller than the chargeable load, allowing the second electric vehicle to be charged at the first charging station;

when the vehicle to be charged is the second electric vehicle and the second predicted load is greater than or equal to the chargeable load, guiding the second electric vehicle to go to other charging stations for charging;

when the actual load is greater than or equal to the chargeable load, prohibiting the vehicle to be charged from being charged at the first charging station;

the dividing the electric vehicle into a first electric vehicle and a second electric vehicle according to the position information and the electric quantity information includes:

determining a first driving distance of the electric vehicle to the first charging station and determining a second driving distance of the electric vehicle to the second charging station according to the position information;

dividing the electric vehicle into the first electric vehicle and the second electric vehicle according to the first travel distance, the second travel distance and the electric quantity information;

the second charging station is the closest charging station to the first charging station; the first travel distance is less than the second travel distance;

the dividing the electric vehicle into the first electric vehicle and the second electric vehicle according to the first travel distance, the second travel distance, and the electric quantity information includes:

acquiring the vehicle model of the electric vehicle;

determining the travelable distance of the electric automobile according to the vehicle model and the electric quantity information;

when the distance to empty is less than the second driving distance and greater than or equal to the first driving distance, dividing the electric vehicle into the first electric vehicle;

when the travelable distance is greater than or equal to the second travel distance, dividing the electric vehicle into the second electric vehicle;

when the travelable distance is less than the first travel distance, the electric automobile is divided into vehicles to be rescued, and the vehicles to be rescued are inquired whether road rescue is needed.

5. An electric vehicle charging prediction system, the prediction system comprising: a processor, a memory and a program or instructions stored on the memory and executable on the processor, the program or instructions when executed by the processor implementing the steps of the prediction method according to any one of claims 1 to 3.

6. A readable storage medium, on which a program or instructions are stored, which when executed by a processor implement the steps of the prediction method according to any one of claims 1 to 3.

Images